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Load Prediction Based on Hybrid Model of VMD-mRMR-BPNN-LSSVM
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1562
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1564
Torreya grandis nut peptides regulate lipid-II inhibitors in high-fat diet-fed mice
Published 2025-12-01Get full text
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1565
HGCS—A Multiplex Transmission Method for Wide-Area Unmanned Aerial Vehicle Cluster Inspection Data in Hybrid Networked Transmission Lines
Published 2024-01-01“…The HGCS algorithm in comparison to the existing algorithms uses the innovative hybrid approach, exploiting the strengths of different components to get an optimal balance between computational efficiency and resource utilization. These results show that HGCS is a robust choice to deal with fault detection in less time with a fair distribution of resources.…”
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1566
Cloning and expression analysis of sugar transporter protein gene MeSWEET17b in cassava
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1567
Structure variety and its potential effects on biological activity of tea polysaccharides
Published 2022-05-01Get full text
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1568
Tampa Bay red tide tweet dashboard: Using Twitter/X to inform understanding of harmful algal blooms in the Tampa Bay region
Published 2025-05-01“…This paper describes the dashboard architecture, deployment, functionality, and use cases. The dashboard was co-developed with regional stakeholders and researchers and is expected to have utility for local resource management organizations, along with a broader research community interested in studying HAB events. …”
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The Fiber Cell-Specific Overexpression of <i>COMT2</i> Modulates Secondary Cell Wall Biosynthesis in Poplar
Published 2025-06-01Get full text
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1572
Nanocellulose derived from agricultural biowaste by-products–Sustainable synthesis, biocompatibility, biomedical applications, and future perspectives: A review
Published 2024-12-01“…Moreover, the strategic integration of nanocellulose into composites and its structural functionalization enable customizing its properties for specific functions, further expanding its utility. …”
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1573
Research on prediction method of well logging reservoir parameters based on Multi-TransFKAN model
Published 2025-05-01“…Abstract Accurate prediction of reservoir parameters is crucial for enhancing oil exploration efficiency and resource utilization. Although existing deep learning methods have made some progress in reservoir parameter prediction, they still face accuracy limitations in multi-task prediction. …”
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1574
Implementation of Train Interval Protection in Train Autonomous Circumambulate System
Published 2022-04-01“…Although this traditional centralized management of line resources can ensure safe interval protection between trains, but it cannot maximize the utilization of line resources and affect the tracking interval of trains, and it limits the capacity of the line. …”
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Enhancing grid frequency regulation in low inertia modern multi‐area power systems using cascaded non‐integer control approaches with BESS‐based virtual inertia
Published 2024-12-01“…Abstract In modern power systems, the integration of inverter‐based renewable energy sources has significantly reduced system inertia, leading to heightened frequency fluctuations and potential instability within multi‐area interconnected microgrids. …”
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Current financial control automation in a holding
Published 2025-01-01“…Financial control is critical to financial management at any level, ensuring the sound functioning of the system. Improvement of this function contributes to increase in efficiency of resource utilization and growth of speed of response to changes. …”
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Robust Expansion Planning of Distribution Network in Presence of Electric Vehicles to Improve Economic Parameters and Reduce Energy Consumption
Published 2025-05-01“…The YALMIP toolbox in MATLAB software was utilized to model and solve the objective function of this problem, which is expressed in both deterministic and nondeterministic versions. …”
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Coevolutionary Algorithm with Bayes Theorem for Constrained Multiobjective Optimization
Published 2025-04-01“…Additionally, a population size adjustment strategy is introduced to mitigate the computational burden of dual populations. By utilizing past prior knowledge to estimate the probability of function value changes, offspring allocation is dynamically adjusted, optimizing resource utilization. …”
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